What Defines Real End User Experience?
“Real” End User Experience is defined by the three primary components that dynamically interact to constantly impact how End Users experience IT Services in real-time:
- Physical, Virtual and Mobile Device Performance – Storage, Event Log, Hung Processes, Application Crashes and Blue Screens of Death, WMI, Top Resource Consumers, Network Read/ Write, Boot and Logon Profiling, Hypervisor, Remote File Share, Battery, Wi-Fi and Cellular Network, etc.
- Application Performance – Latency, response time and “key-to-glass” transaction time for user workflows across any application, e.g., HTTP(s), RIA/AJAX, Thick Client, .NET, WPF, Native iOS and Android apps, ICA, PCoIP and RDP, etc.
- User Productivity – Application, module and business function usage statistics, e.g. trades executed, calls closed, emails sent, invoices created, etc. including usage trail, execution time and time spent.
What is Frontline Performance Intelligence?
Frontline Performance Intelligence is the result of the real-time aggregation, analysis, and correlation of all the performance metrics that define and impact real end user experience. By transforming end user experience metrics into actionable business intelligence, Frontline Performance Intelligence enables enterprises to rapidly gain the agility required to address End User issues before they impact business results. In addition, Frontline Performance Intelligence enables organizations to make informed decisions that accelerate business productivity, and gain visibility and insight to measure achievement of strategic business initiatives.
What is the Benefit of User-Centric Proactive IT Management?
Industry-leading analysts have established that in 74% of the reported help desk cases, IT first learns about performance and availability problems when the users call the Help Desk. User-centric, proactive IT management leverages Frontline Performance Intelligence to address this critical problem at its core with self-learning performance baselines, proactive incident analysis, impacted user isolation, and probable cause analysis. By doing so, it empowers enterprises to attain the required service levels demanded by users, while containing the costs associated with a “real-time” enterprise.